Member of Technical Staff, Research

The role

You will advance LLMs and multimodal systems through foundational research. You will design, implement, and evaluate model architectures, training methods, and optimization techniques to enhance model efficiency, accuracy, and scalability.

What you will do

• Conduct foundational research to advance LLMs and multimodal systems
• Design, implement, and evaluate novel model architectures, training methods, and optimization techniques
• Collaborate with engineering teams to transition research prototypes into production-grade systems
• Analyze empirical results, identify performance bottlenecks, and iterate quickly to improve model quality
• Contribute to internal research strategy by identifying high-impact opportunities and emerging trends in AI

Required qualifications

• Research background in Artificial Intelligence, Machine Learning, Physics, or similar field
• Experience solving analytical problems using analytic and quantitative approaches
• Experience communicating research to audiences with different backgrounds
• Experience coding in C/C++, Python, or other similar languages

Nice to have

• PhD degree in Computer Science, Computational Physics, Mathematics, or a similar field
• Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions
• Experience having first-authored publications at peer-reviewed conferences or journals
• Experience working with ML frameworks such as PyTorch, TensorFlow, or Jax

About the company

Fireworks is a platform for specialized intelligence that enables companies to build, train, and serve AI models. It is a Series D company valued at $17.5 billion.